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android / platform / external / rappor / f1117eee7b523d84e4c62d95c874b62c46bd5541
commitf1117eee7b523d84e4c62d95c874b62c46bd5541[log] [tgz]
authorBob Badour <bbadour@google.com>Mon May 04 16:32:25 2020 +0000
committerAutomerger Merge Worker <android-build-automerger-merge-worker@system.gserviceaccount.com>Mon May 04 16:32:25 2020 +0000
tree9ea2d90274658cd099b5b05d973c1bf0fbd04dff
parent57bd8c19ba21121bdf3076e18379b14ddb5e721b [diff]
parent7ba747649221391cc116d672cce88e7e5f89eebb [diff]
Add METADATA to rappor: Apache2=NOTICE am: 2b68dfbdc6 am: 78b7807811 am: f1e3654bc4 am: 903fc76c13 am: 7ba7476492

Change-Id: Ia302388f789fe313c38a25421e2839ae226a6969
tree: 9ea2d90274658cd099b5b05d973c1bf0fbd04dff
  1. client/
  2. Android.bp
  3. LICENSE
  4. METADATA
  5. MODULE_LICENSE_APACHE2
  6. OWNERS
  7. README.android
  8. README.md
  9. README.version
README.md

RAPPOR

RAPPOR is a novel privacy technology that allows inferring statistics about populations while preserving the privacy of individual users.

This repository contains simulation and analysis code in Python and R.

For a detailed description of the algorithms, see the paper and links below.

Feel free to send feedback to rappor-discuss@googlegroups.com.

Publications

Links

  • Google Blog Post about RAPPOR
  • RAPPOR implementation in Chrome
    • This is a production quality C++ implementation, but it‘s somewhat tied to Chrome, and doesn’t support all privacy parameters (e.g. only a few values of p and q). On the other hand, the code in this repo is not yet production quality, but supports experimentation with different parameters and data sets. Of course, anyone is free to implement RAPPOR independently as well.
  • Mailing list: rappor-discuss@googlegroups.com